Principal Applied Scientist , Amazon Music, Machine Learning and Personalization
Apply NowCompany: Amazon
Location: San Francisco, CA 94112
Description:
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.
We are seeking a visionary and seasoned technology leader to drive our investments in machine learning (ML) and artificial intelligence (AI). As a Principal Applied Scientist, you will report directly to the Director of Machine Learning at Amazon Music, and help architect our ML strategy, overseeing the design of our ML stack and ensuring the quality of our models. Your success in this role will depend on your deep expertise in search, personalization, discovery, AI/ML, Generative AI, and your passion for entertainment. This is a unique opportunity to influence the future of audio entertainment for millions of listeners worldwide. As a center of excellence in machine learning, this role will place you at the forefront of applying Generative AI at scale, using Amazon's rich datasets. You will have a direct impact on shaping the future of audio exploration, driving massive customer experience improvements, and achieving critical business KPIs.
Key job responsibilities
Key job responsibilities
As a technical leader, you will guide teams of scientists and engineers in translating complex business and functional requirements into tangible, high-impact deliverables.
Drive innovation by applying advanced ML techniques in recommendation systems, search algorithms, and marketing optimization.
Provide thought leadership and guidance to push the boundaries of what's possible with Generative AI in entertainment.
Represent Amazon Music at both internal and external scientific conferences, collaborating closely with teams across Amazon, including Retail, Prime Video, AGI, and AWS, to advance the state of AI/ML research and its applications.
Build and nurture partnerships with academic institutions to ensure our teams have access to the latest research and mentoring opportunities.
BASIC QUALIFICATIONS
PhD in Computer Science/Math or a related field
10+ years' industry/academic experience in building machine learning models
Strong familiarity with Gen AI for foundational models and Large Language Models
Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art applied science
PREFERRED QUALIFICATIONS
Computer Science fundamentals in Computer Vision and DL across modeling, data structures, algorithm design and complexity analysis
The ability to Think Big, Dive Deep and Learn & Be Curious to provide strategic direction to various entertainment teams across Amazon
The leadership and interpersonal skills necessary to excel in influence-based roles, with or without direct authority, while working closely with internal and external partners in leading science efforts to meet aggressive timelines with optimal solutions
A demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
Ability to take a project from requirements gathering and design to actual product launch.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are seeking a visionary and seasoned technology leader to drive our investments in machine learning (ML) and artificial intelligence (AI). As a Principal Applied Scientist, you will report directly to the Director of Machine Learning at Amazon Music, and help architect our ML strategy, overseeing the design of our ML stack and ensuring the quality of our models. Your success in this role will depend on your deep expertise in search, personalization, discovery, AI/ML, Generative AI, and your passion for entertainment. This is a unique opportunity to influence the future of audio entertainment for millions of listeners worldwide. As a center of excellence in machine learning, this role will place you at the forefront of applying Generative AI at scale, using Amazon's rich datasets. You will have a direct impact on shaping the future of audio exploration, driving massive customer experience improvements, and achieving critical business KPIs.
Key job responsibilities
Key job responsibilities
As a technical leader, you will guide teams of scientists and engineers in translating complex business and functional requirements into tangible, high-impact deliverables.
Drive innovation by applying advanced ML techniques in recommendation systems, search algorithms, and marketing optimization.
Provide thought leadership and guidance to push the boundaries of what's possible with Generative AI in entertainment.
Represent Amazon Music at both internal and external scientific conferences, collaborating closely with teams across Amazon, including Retail, Prime Video, AGI, and AWS, to advance the state of AI/ML research and its applications.
Build and nurture partnerships with academic institutions to ensure our teams have access to the latest research and mentoring opportunities.
BASIC QUALIFICATIONS
PhD in Computer Science/Math or a related field
10+ years' industry/academic experience in building machine learning models
Strong familiarity with Gen AI for foundational models and Large Language Models
Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art applied science
PREFERRED QUALIFICATIONS
Computer Science fundamentals in Computer Vision and DL across modeling, data structures, algorithm design and complexity analysis
The ability to Think Big, Dive Deep and Learn & Be Curious to provide strategic direction to various entertainment teams across Amazon
The leadership and interpersonal skills necessary to excel in influence-based roles, with or without direct authority, while working closely with internal and external partners in leading science efforts to meet aggressive timelines with optimal solutions
A demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
Ability to take a project from requirements gathering and design to actual product launch.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.